A5088092740- Advanced Battery Technologies Research
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Advanced Neural Network Applications
- Electric Vehicles and Infrastructure
- Video Surveillance and Tracking Methods
- Autonomous Vehicle Technology and Safety
- Smart Grid Energy Management
- Fault Detection and Control Systems
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Image and Video Retrieval Techniques
- Microgrid Control and Optimization
- Energy Load and Power Forecasting
- Electric and Hybrid Vehicle Technologies
- Photonic and Optical Devices
- Electric Power System Optimization
- Fuel Cells and Related Materials
- Power Transformer Diagnostics and Insulation
- Web Data Mining and Analysis
- Industrial Vision Systems and Defect Detection
- Advanced Adaptive Filtering Techniques
- Electricity Theft Detection Techniques
- Advanced battery technologies research
- Geoscience and Mining Technology
- Anomaly Detection Techniques and Applications
Suzhou City University
2024-2025
Wuhan University of Technology
2012-2024
National Renewable Energy Laboratory
2015-2024
Lucid Motors (United States)
2023
Tsinghua University
2023
Lucid Technologies (United States)
2023
Southwest University
2023
Harbin Engineering University
2022
Ministry of Industry and Information Technology
2022
Heilongjiang University of Science and Technology
2022
Abstract Lithium–sulfur (Li–S) batteries are highly appealing for next‐generation electrochemical energy storage owing to their high theoretical density, environmental friendliness, and low cost. However, the insulating nature of sulfur migration dissolved polysulfide intermediates lead active material utilization fast capacity decay, which pose a significant challenge practical applications. Here, this paper reports multifunctional carbon hybrid with metal–organic frameworks (MOFs)‐derived...
Traditional sparse coding has proven to be an effective method for image feature representation in recent years, yielding promising results classification. However, it faces several challenges, such as sensitivity variations, code instability, and inadequate distance measures. Additionally, classification often operate independently, potentially resulting the loss of semantic relationships. To address these issues, a new is proposed, called Histogram intersection Semantic information-based...
In order to improve the convergence time and stabilization accuracy of real-time state estimation power batteries for electric vehicles, a fuzzy unscented Kalman filtering algorithm (F-UKF) new type is proposed in this paper, with an improved second-order resistor-capacitor (RC) equivalent circuit model established online parameter identification used by Bayes. Ohmic resistance treated as battery health (SOH) characteristic parameter, F-UKF algorithms are joint charge (SOC) SOH. The...
Get PDF Email Share with Facebook Tweet This Post on reddit LinkedIn Add to CiteULike Mendeley BibSonomy Citation Copy Text Y. Shi, D. Psaltis, A. Marrakchi, and R. Tanguay, "Photorefractive incoherent-to-coherent optical converter," Appl. Opt. 22, 3665-3667 (1983) Export BibTex Endnote (RIS) HTML Plain alert Save article
Accurately modeling stationary battery storage behavior is crucial to pursuing cost-effective distributed energy resource opportunities. In this paper, a lithium-ion model was derived for building-integrated use cases. The proposed aims balance speed and accuracy when real-time predictive control optimization. To achieve these goals, mixed approach incorporates regression fits experimental data an equivalent circuit behavior. validated through comparison manufacturer data. Additionally,...
MOF-derived nitrogen-doped porous carbon/graphene is designed as the cathode framework for Li-S batteries by Zhenhua Sun, Feng Li, and co-workers in article number 1707592. Graphene enables uniform dispersion of MOFs well fast electron transport. The carbon contributes to an effective polysulfide entrapment with both physical confinement a chemical adsorption effect. As result, high specific capacity good cycling stability are achieved.
This paper proposes a two-layer optimization framework to co-optimize the P2P energy trading among multiple microgrids (MMGs) under uncertainty and optimal topology planning of distribution networks (DNs). At upper layer, traditional verification power flow model DNs is transformed into prosumer-focused transaction-oriented dynamic network reconfiguration model. lower from wind generations integrated operating individual MGs addressed by stochastic programming (SP) method. Meanwhile,...
Realization of anionic nonmetal doping and high energy crystal facet exposure in TiO2 photocatalysts has been proven to be an effective approach for significantly improving their photocatalytic performance. A facile strategy ionic liquid assisted etching chemistry by simply hydrothermally hollow spheres composed nanoparticles with 1-butyl-3-methylimidazolium tetrafluoroborate without any other additives is developed create highly active anatase nanocubes nanocube assemblies. With this...
Accurate information of battery internal variables is crucial for health-conscious and optimal management. Due to lack measurements, advanced management systems rely heavily on estimation algorithms that provide such information. Although cell-level charge health have been widely explored in the literature, electrode-level quantities are almost nonexistent. The main obstacle observability problem where individual electrode states not observable from terminal voltage output. However, if...
Abstract The increasing penetration of renewable energy and the further coupling electricity carbon markets have hindered realization efficient low‐carbon transformation processes in new power systems. This study addresses optimization problems joint peer‐to‐peer (P2P) trading multi‐energy microgrids (MEMGs), taking into account risks associated with generation a distributed manner. First, coordinated operation model is developed to describe P2P issues among MEMGs, aiming minimize operating...
Many electrical equipment malfunction text messages are collected during power system operation and maintenance procedures. These texts usually contain crucial information for condition monitoring. Because these characterized by multidomain vocabularies, complex-syntactic structures, long sentences, it is challenging to automated systems capture their semantic meaning essential information. To address this issue, we propose a hybrid natural language processing (hybrid-NLP) algorithm extract...
As stationary hybrid energy‐storage systems (HESS) for power applications have recently drawn interest due to their enhanced performance and decreasing cost, developing systematic approaches HESS design while considering controls is gaining traction. Herein, a method presented optimally battery storage by proposing mathematical modeling framework, formulated as mixed integer linear programming model. The optimization capable of handling multiple subsystems batteries, economic technological...